Instructions to use Jeevesh8/t5-small-cogs_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/t5-small-cogs_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/t5-small-cogs_2") model = AutoModelForSeq2SeqLM.from_pretrained("Jeevesh8/t5-small-cogs_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Jeevesh8/t5-small-cogs_2: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Jeevesh8/t5-small-cogs_2/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Jeevesh8/t5-small-cogs_2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Jeevesh8/t5-small-cogs_2/resolve/main/flax_model.msgpack
242 MB
- Xet hash:
- 714ae796fbf123ac5dec08fc4ce5253cf199609d1d890a732464500ba8fcf7d6
- Size of remote file:
- 242 MB
- SHA256:
- b6b4c09954a2bd6ef26bd61d1732cd21f22f7f43da551ca0f37d802d4ecc9012
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